Title :
Characterizing long memories in electric water heater power consumption time series
Author :
Ye, Xianming ; Xia, Xiaohua ; Zhang, Jiangfeng ; Chen, YangQuan
Author_Institution :
Dept. of Electr., Electron. & Comput. Eng., Univ. of Pretoria, Pretoria, South Africa
Abstract :
This paper presents some empirical studies on the long memory properties in the time series of averaged electric water heater power consumption in an assemble of communities in two different geographical locations in South Africa. The long memory property in the power consumption time series is characterized by using the fractional order signal processing method. Results shows that the memory parameters in different communities in two different geographical locations are distinct.
Keywords :
electric heating; power consumption; signal processing; time series; electric water heater power consumption time series; fractional order signal processing method; geographical locations; long memory properties; Load modeling; Resistance heating; Sea measurements; Temperature distribution; Time series analysis; Water heating;
Conference_Titel :
AFRICON, 2011
Conference_Location :
Livingstone
Print_ISBN :
978-1-61284-992-8
DOI :
10.1109/AFRCON.2011.6072104